wehub-resource-sync
db620d33df
CodeQL / Analyze (csharp) (push) Waiting to run
CodeQL / Analyze (python) (push) Waiting to run
dotnet-build-and-test / dotnet-test-functions (push) Has been cancelled
dotnet-build-and-test / paths-filter (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Debug, windows-latest, net9.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net8.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-foundry-hosted-it (push) Has been cancelled
dotnet-build-and-test / dotnet-build-and-test-check (push) Has been cancelled
dotnet-build-and-test / Integration Test Report (push) Has been cancelled
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
|
|
|
|
import asyncio
|
|
|
|
from agent_framework import Agent
|
|
from agent_framework.ollama import OllamaChatClient
|
|
from dotenv import load_dotenv
|
|
|
|
# Load environment variables from .env file
|
|
load_dotenv()
|
|
|
|
"""
|
|
Ollama Agent Reasoning Example
|
|
|
|
This sample demonstrates implementing a Ollama agent with reasoning.
|
|
|
|
Ensure to install Ollama and have a model running locally before running the sample
|
|
Not all Models support reasoning, to test reasoning try qwen3:8b
|
|
Set the model to use via the OLLAMA_MODEL environment variable or modify the code below.
|
|
https://ollama.com/
|
|
|
|
"""
|
|
|
|
|
|
async def main() -> None:
|
|
print("=== Response Reasoning Example ===")
|
|
|
|
agent = Agent(
|
|
client=OllamaChatClient(),
|
|
name="TimeAgent",
|
|
instructions="You are a helpful agent answer in one sentence.",
|
|
default_options={"think": True}, # Enable Reasoning on agent level
|
|
)
|
|
query = "Hey what is 3+4? Can you explain how you got to that answer?"
|
|
print(f"User: {query}")
|
|
# Enable Reasoning on per request level
|
|
result = await agent.run(query)
|
|
reasoning = "".join((c.text or "") for c in result.messages[-1].contents if c.type == "text_reasoning")
|
|
print(f"Reasoning: {reasoning}")
|
|
print(f"Answer: {result}\n")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main())
|